ApplyGenie

io.github.Eternalcodertanishq3Published by GitHub account Eternalcodertanishq3v0.1.3Updated Oct 24, 2026

Autonomous job application copilot, ATS form filler, and AI mock interview engine.

VerifiedSTDIODesktop onlyProductivity & WorkflowBrowser AutomationDeveloper Tools

Overview

AI-generated overview

A local desktop MCP server that fills job application forms in a browser, tracks applications, and runs mock interview practice.

What you can do
ApplyGenie exposes around 45 tools across five areas: desktop control and screenshots, mouse and keyboard input, and Windows window management; a local candidate profile with resume parsing; Playwright-based browser automation that detects form fields, fills them from the profile, and uploads a resume; a local SQLite application tracker with status updates and analytics; and a mock interview engine with coding hints, STAR answer analysis, system design phases, and scorecards.
When to use it
Worth adding if you want an assistant to help with repetitive job application forms, keep a local record of where you applied, and rehearse coding, behavioral, or system design interviews. It is desktop-only and aimed at Windows-style desktop automation rather than headless server use.
Requirements
Runs locally over stdio, installed from PyPI as applygenie-mcp, for example via uvx or pip. Full browser automation needs the browser extra plus a Playwright Chromium install. No accounts, API keys, or environment variables are declared. A desktop session with a display is required.
Before you install
It can control the mouse, keyboard, and windows, and it types profile data into web forms, so review what it fills before any submission; form submission requires explicit confirmation. Profile data, resume caches, and application records are stored locally under the user's home directory. It is desktop-only and not web-executable.

Installation

In SourceWeft

  1. Open ApplyGenie in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

ApplyGenie MCP 🧞‍♂️

Your magical AI assistant that grants your job wishes.
A production-grade Model Context Protocol (MCP) server for desktop control, autonomous job application form filling, local application tracking, and personalized AI mock interview preparation.

[Python 3.10+] [MCP Protocol] [License: MIT] [PyPI] [Total Downloads] [Monthly Downloads] [ApplyGenie on MCPRush] [M8ven Score] [Changelog]

🌟 What is ApplyGenie?

ApplyGenie bridges the gap between job discovery, form filling, application tracking, and interview readiness. It runs locally as an MCP server, empowering LLM agents (Claude Desktop, Cursor, Antigravity, VS Code, Windsurf) with 48 specialized tools:

  1. 🖥️ Desktop Control & Vision: Fast screenshot captures (mss), DPI-corrected mouse navigation, human-like typing jitter (pynput), and native Windows window management (pywinauto).
  2. 📋 Smart Candidate Profile: Local JSON schema storing your education, work experiences, skills, work authorizations, and custom portal answer banks.
  3. 🌐 AI Browser Automation & Anti-Detection Form Filling: Playwright-powered stealth engine with deep CDP cloaking, native .toString() code spoofing, discrete WebGL GPU profiles (RTX 3080), deterministic canvas/audio fingerprint protection, Fitts's Law cubic Bézier biometric mouse trajectories, realistic keystroke dynamics with unicode currency fallback, and automated Challenge Radar (Cloudflare Turnstile, reCAPTCHA, hCaptcha). Parses forms across nested iframes & Shadow DOMs, maps candidate profiles, and requires explicit confirmation before submitting.
  4. 📊 Application Tracker & Analytics: Local SQLite database logging every applied role, tracking interview conversion rates, and charting application velocity.
  5. 🎤 Mock Interview Engine: Socratic coding hint ladders (4 rungs), behavioral STAR coaching ("I" vs "We" ownership ratio analysis), and 4-phase system design state machines.

🚀 Quickstart & Installation

Option 1: Run directly with uvx (Zero manual setup)

bash
uvx applygenie-mcp

Option 2: Install via pip

bash
pip install applygenie-mcp
# With full browser automation support:pip install "applygenie-mcp[browser]"playwright install chromium

⚙️ Configuration for MCP Clients

1. Claude Desktop

Add to your %APPDATA%\Claude\claude_desktop_config.json (Windows) or ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

json
{  "mcpServers": {    "applygenie": {      "command": "uvx",      "args": ["applygenie-mcp"]    }  }}

2. Google Antigravity

Add to your project's .agents/mcp_config.json or ~/.gemini/config/mcp_config.json:

json
{  "mcpServers": {    "applygenie": {      "command": "python",      "args": ["-m", "applygenie.server"],      "cwd": "C:\\Personal Projects\\applygenie-mcp"    }  }}

3. Cursor / Windsurf

Navigate to Settings > Features > MCP > Add New MCP Server:

  • Name: ApplyGenie
  • Type: command
  • Command: uvx applygenie-mcp

🛠️ Complete MCP Tool Reference

1. Desktop Control & Vision

ToolDescription
screenshot(monitor=0)Captures JPEG screenshot encoded in base64.
get_screen_size()Enumerates all connected monitors and resolution bounds.
mouse_click(x, y, button, clicks)Clicks mouse with DPI scaling correction.
mouse_move(x, y)Moves mouse cursor smoothly to target coordinates.
mouse_scroll(direction, amount)Scrolls mouse wheel up or down.
mouse_drag(start_x, start_y, end_x, end_y)Performs click-and-drag between coordinates.
get_mouse_position()Returns current mouse cursor coordinates.
type_text_input(text, interval)Types text with randomized jitter (±30%) to emulate human cadence.
press_keyboard_key(keys)Executes hotkeys (e.g. ctrl+a, tab, enter).
list_open_windows()Returns all visible application windows.
focus_app_window(title)Brings target window to foreground via fuzzy title match.
minimize_app_window(title)Minimizes target window.
maximize_app_window(title)Maximizes target window.
get_current_window()Returns info about currently focused active window.
search_windows(pattern)Finds windows matching regex or substring.
wait_seconds(seconds)Pauses execution safely (capped at 30s).
get_action_history(last_n)Inspects safety audit action logs.

2. Profile & Resume Management

ToolDescription
get_user_profile()Loads complete candidate profile.
get_user_profile_summary()Returns concise summary of skills, credentials, and work history.
setup_user_profile(...)Initializes candidate personal info, URLs, location, and defaults.
update_profile_attribute(field, val)Updates a specific top-level profile field.
add_work_experience(...)Appends a work experience or internship entry.
add_education_entry(...)Appends a degree / university qualification.
add_project_entry(...)Appends a notable software project.
save_portal_custom_answer(pattern, ans)Saves reusable answer for portal questions (e.g. "Why hire you?").
parse_resume_file(filepath)Extracts text from PDF or DOCX resume.

3. Browser Automation & Form Filling

ToolDescription
browser_open(url, headless)Launches stealth Chromium browser with deep CDP cloaking and discrete GPU profiles.
browser_navigate(url)Navigates browser to destination page with automatic Challenge Radar auto-wait.
browser_get_page_text()Extracts visible text content from current tab.
browser_get_page_screenshot()Captures high-res screenshot of current webpage.
browser_get_accessibility_tree()Extracts full ARIA tree snapshot to observe custom comboboxes, listboxes, and dialogs.
browser_detect_form_fields()Parses inputs, textareas, selects, and file uploads across nested iframes & Shadow DOM.
browser_fill_detected_form(kinetic)Auto-maps profile data and fills all detected inputs (with optional kinetic biometric typing & mouse movement).
browser_upload_resume(filepath)Uploads resume PDF/DOCX to detected file input field.
browser_submit_form(confirm=True)Clicks submit button (Requires explicit human confirmation).
browser_close()Closes browser gracefully.

4. Application Tracker

ToolDescription
track_application(...)Records a new application in local SQLite database.
update_application_progress(id, status)Updates status (interview, screening, offer, rejected).
get_tracked_applications(...)Lists applications with optional status/company filtering.
search_tracked_applications(query)Full-text search across roles, companies, and notes.
get_application_analytics()Computes interview conversion rates, offer rates, and top companies.

5. Mock Interview Engine

ToolDescription
start_mock_interview(type, company, diff)Starts coding, behavioral, or system design session.
get_coding_hint()Advances the 4-rung Socratic hint ladder without spoiling answers.
analyze_behavioral_star_answer(text)Evaluates STAR structure and calculates "I" vs "We" ownership ratio.
advance_system_design_interview(input)Steps through 4 architectural interview phases.
generate_interview_scorecard(...)Produces structured 1-5 rubric report card and hiring recommendation.

🛡️ Safety & Failsafe Architecture

ApplyGenie enforces strict safety guardrails:

  1. Mouse Corner Failsafe: Moving the cursor to screen corner (0, 0) immediately halts all automation.
  2. Rate Limiting: Enforces a maximum action frequency (default: 30 actions/min) and minimum delays to prevent runaway loops.
  3. Human-in-the-Loop Confirmation: Form submission and destructive actions require explicit confirm=True confirmation. The copilot fills 95% of the form, pausing for human review.
  4. Local Data Storage: All candidate profile data, resume caches, and application records stay on your local disk at ~/.applygenie/. No telemetry, no cloud sync.
  5. Key Combo Shield: Dangerous system combinations (alt+f4, ctrl+alt+del) are blocked by default.

🧪 Running Tests

bash
python -m pytest tests/ -v

📄 License

This project is licensed under the MIT License — see the LICENSE file for details.

Developed with ❤️ by Tanishq Mangal ([email protected]).

Source: README.md at commit 0fd31e9

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

2
  1. v0.1.3LatestSep 19, 2026
  2. v0.1.1Sep 17, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts